An overview on constitutive modelling to predict elevated temperature flow behaviour of fast reactor structural materials
出版年份 2011 全文链接
标题
An overview on constitutive modelling to predict elevated temperature flow behaviour of fast reactor structural materials
作者
关键词
-
出版物
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS
Volume 63, Issue 6, Pages 823-831
出版商
Springer Nature
发表日期
2011-01-08
DOI
10.1007/s12666-010-0126-6
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A comparative study on Johnson Cook, modified Zerilli–Armstrong and Arrhenius-type constitutive models to predict elevated temperature flow behaviour in modified 9Cr–1Mo steel
- (2009) Dipti Samantaray et al. COMPUTATIONAL MATERIALS SCIENCE
- A new mathematical model for predicting flow stress of typical high-strength alloy steel at elevated high temperature
- (2009) Y.C. Lin et al. COMPUTATIONAL MATERIALS SCIENCE
- Constitutive analysis to predict high-temperature flow stress in modified 9Cr–1Mo (P91) steel
- (2009) Dipti Samantaray et al. MATERIALS & DESIGN
- An Overview of Neural Network Based Modeling in Alloy Design and Thermomechanical Processing of Austenitic Stainless Steels
- (2009) Sumantra Mandal et al. MATERIALS AND MANUFACTURING PROCESSES
- A thermo-viscoplastic constitutive model to predict elevated-temperature flow behaviour in a titanium-modified austenitic stainless steel
- (2009) Dipti Samantaray et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Artificial neural network modeling to evaluate and predict the deformation behavior of stainless steel type AISI 304L during hot torsion
- (2008) Sumantra Mandal et al. APPLIED SOFT COMPUTING
- A method to predict flow stress considering dynamic recrystallization during hot deformation
- (2008) Xiaoming He et al. COMPUTATIONAL MATERIALS SCIENCE
- Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel
- (2008) Y.C. Lin et al. COMPUTATIONAL MATERIALS SCIENCE
- Material characterisation and constitutive modelling of a tungsten-sintered alloy for a wide range of strain rates
- (2008) I. Rohr et al. INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
- Prediction of the flow stress of 6061 Al–15% SiC – MMC composites using adaptive network based fuzzy inference system
- (2008) V. Kalaichelvi et al. MATERIALS & DESIGN
- Constitutive equations to predict high temperature flow stress in a Ti-modified austenitic stainless steel
- (2008) Sumantra Mandal et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Modeling of flow stress of 42CrMo steel under hot compression
- (2008) Yong-Cheng Lin et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Constitutive modeling for elevated temperature flow behavior of 42CrMo steel
- (2007) Y.C. Lin et al. COMPUTATIONAL MATERIALS SCIENCE
- Artificial neural network modeling of composition–process–property correlations in austenitic stainless steels
- (2007) Sumantra Mandal et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search